oppr (version 1.0.0)

add_locked_out_constraints: Add locked out constraints

Description

Add constraints to a project prioritization problem to ensure that specific actions are not prioritized for funding in the solution. For example, it may be desirable to lock out specific actions to examine their importance to the optimal funding scheme.

Usage

add_locked_out_constraints(x, locked_out)
# S4 method for ProjectProblem,numeric
add_locked_out_constraints(x, locked_out)
# S4 method for ProjectProblem,logical
add_locked_out_constraints(x, locked_out)
# S4 method for ProjectProblem,character
add_locked_out_constraints(x, locked_out)

Arguments

x

ProjectProblem-class object.

locked_out

Object that determines which planning units that should be locked out. See the Details section for more information.

Examples

# NOT RUN {
# load data
data(sim_projects, sim_features, sim_actions)

# update "locked_out" column to lock out action "F2_action"
sim_actions$locked_out <- c(FALSE, TRUE, FALSE, FALSE, FALSE, FALSE)

# print action data
print(sim_actions)

# build problem with maximum richness objective and $150 budget
p1 <- problem(sim_projects, sim_actions, sim_features,
             "name", "success", "name", "cost", "name") %>%
     add_max_richness_objective(budget = 150) %>%
     add_binary_decisions()

# print problem
print(p1)

# build another problem, and lock out the second action using numeric inputs
p2 <- p1 %>%
      add_locked_out_constraints(c(2))

# print problem
print(p2)

# build another problem, and lock out the actions using logical inputs
# (i.e. TRUE/FALSE values) from the sim_actions table
p3 <- p1 %>%
      add_locked_out_constraints(sim_actions$locked_out)

# print problem
print(p3)

# build another problem, and lock out the actions using the column name
# "locked_out" in the sim_actions table
# the sim_actions table
p4 <- p1 %>%
      add_locked_out_constraints("locked_out")

# print problem
print(p4)

# }
# NOT RUN {
# solve problems
s1 <- solve(p1)
s2 <- solve(p2)
s3 <- solve(p3)
s4 <- solve(p4)

# print the actions selected for funding in each of the solutions
print(s1[, sim_actions$name])
print(s2[, sim_actions$name])
print(s3[, sim_actions$name])
print(s4[, sim_actions$name])
# }